遇见数据集

Dataset: Spatial Alignment of Audio–Haptic Directional Feedback Shapes Non-Visual Hand Guidance

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Monash University Figshare2026-05-26 更新2026-07-03 收录
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Hand-movement kinematic dataset accompanying the IJHCS paper "Spatial Alignment of Audio–Haptic Directional Feedback Shapes Non-Visual Hand Guidance." Twenty sighted adult participants (P01–P20; 10 female, 10 male; mean age 26.5 ± 3.1 years; all right-handed) completed a 2D non-visual reaching task with four wrist-worn feedback conditions — Aligned (audio + vibration encoding the same direction), Axis-split (audio encoding left–right, vibration encoding depth), Audio-only, and Vibration-only — across four cycles (14 invisible targets × 4 condition blocks × 4 cycles = 224 trials per participant; two early-recruited participants completed two cycles). Hand position was tracked at 120 Hz with a Leap Motion Controller. Each participant folder (P01–P20/data/) contains the trial-level Leap data, condition logs, subject metadata (subject.json), and per-block guidance event logs. Spatial audio was rendered via the Bernschütz (2013) Neumann KU 100 HRIR set (2,702-point Lebedev grid; HRIR_L2702.sofa); vibrotactile feedback used four ERM coin actuators (NFP-C0820L) at ~217 Hz operating in the Pacinian sensitivity band.

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2026-05-26
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